Posit PBC

The call for talks for posit::conf(2026) is officially open! This September, we’re bringing the data science community together in Texas to showcase the best in R, Python, and open-source innovation. Do you have a workflow that saved the day? A new package the world needs to see? Or a perspective on data science that needs to be shared? We want to hear from you. Why speak at posit::conf?  We believe in supporting our speakers every step of the way. If your talk is accepted, you’ll receive: • Travel assistance & lodging to get you to Houston. • A free conference pass to enjoy the full event. • Professional speaker coaching to help you nail your delivery. Whether you're a seasoned pro or a first-time speaker, this is your chance to contribute to the global data science conversation. 📅 When: September 14–16, 2026  📍 Where: Houston, TX  ⏰ Deadline: February 6, 2026 Submit your talk here: https://lnkd.in/eJBj6HyA #positconf2026 #rstats #pydata #datascience #python #opensource

Announcing Orbital for Python 0.3.0: Accelerated Tree-Based Models in SQL We are pleased to announce the release of Orbital for Python 0.3.0, a significant update to our library designed to streamline the deployment of machine learning models for Python and Scikit-learn users. Orbital for Python allows you to transform Scikit-learn pipelines directly into native SQL queries, enabling model inference to execute within your database and eliminating the need for separate Python environments for production scoring. For those familiar with the R ecosystem, Orbital for R provides a similar capability that allows you to predict in databases using tidymodels workflows. Version 0.3.0 optimizes tree-based models, addressing the challenge of long, complex SQL queries that can be difficult for database optimizers to parse and execute efficiently. This release specifically enhances the performance and compatibility of Decision Trees, Random Forests, and Gradient Boosted Trees. Learn more about Orbital 0.3.0 and its new capabilities: https://lnkd.in/gGZqw8sA

ACES manages 1,000+ energy market models, from hourly forecasts to 25-year projections. Before Posit, fragmented tools made governance, reproducibility, and collaboration increasingly risky. With Posit Team + Positron, ACES centralized development, standardized workflows, and gave analysts a shared, governed environment, without slowing them down. The result: ✔ Faster model iteration ✔ Stronger governance ✔ More confidence in high-stakes energy decisions 👉 Read how ACES scaled analytics without sacrificing control: https://lnkd.in/e3sUadXQ

🚨 New Shiny Gallery for Public Sector! 🚨 One of the hardest parts of working in the public sector isn't the data analysis itself; it's getting that data into a format that actually helps people make informed decisions. We recently built a gallery (entirely in Quarto❤️) that features real-world, public-facing Shiny apps and Quarto documents from real teams all over the world. Whether you are looking for design inspo or need a concrete example to show leadership what's possible with R and Python, this is for you! 🖼️ Check out the gallery here: https://lnkd.in/gWDmX7tm We also put out a blog post for those wanting more details on how data science teams and agencies are driving research modernization with open-source tooling like Shiny! 📘 Blog post here: https://lnkd.in/g2iCH83R To our friends in the public sector, thank you for the work you do. We hope this gallery not only showcases a small piece of the great work you do, but also serves as inspiration for those who don't know where to start. ❤️

Many of our LLM tools can execute code and access your files. What does this mean for privacy? As AI assistants like Positron Assistant and Databot become more integrated into our daily work, they naturally raise questions about where data goes and who can access it. Simon P. Couch and Sara Altman share thoughts for data science teams and leaders on navigating the critical intersection of data privacy and AI tools. Their blog post addresses these concerns by shifting the focus from "hiding data" to building a transparent trust relationship with your model provider. Read it here: https://lnkd.in/gScejmun

Imagine this: you have survey data from hundreds of respondents, and you need to generate individual PDF reports for all of them,  in recurring waves. Sounds daunting, right? That was the challenge facing the Decision Sciences & Innovation team at KS&R. By rebuilding their survey reporting pipeline with Quarto and Posit Team, KS&R turned a manual, time-intensive process into an efficient, reproducible workflow, now generating 100 reports in just 5–7 minutes. 🚀 The quote featured below comes from Ben Cortese, and the reproducible example shared alongside this work was led by Keaton Wilson, PhD, who played a key role in designing and implementing this workflow. Ready to do the same in 2026? 👉 Check out this reproducible example from Keaton Wilson at KS&R here: https://lnkd.in/e6WBY_B3 👉 Read the full customer story: https://lnkd.in/effZf-HX

Announcing gt 1.2.0: Enhanced Table Construction for Clinical Reporting We are pleased to announce the release of gt v1.2.0, a package designed to streamline the creation of publication-quality tables for R users! The updates in v1.2.0 are the result of a close collaboration between Posit and GSK, focusing on the complex reporting requirements often found in clinical and pharmaceutical industries (but that can benefit the larger user base, as well). • You can now create hierarchical row labels by passing multiple columns to the stub, which is designed for representing parent-child relationships in clinical trials or financial reports, with automatic value consolidation for a cleaner visual hierarchy. • The new summary_columns() function enables horizontal calculations (like row totals or averages) across multiple columns, complementing the existing vertical summary_rows() functionality. • With fmt_number_si(), you can automatically format values using SI prefixes (k, M, G, etc.).  • Significant improvements have been made to non-HTML outputs. Whether you are exporting to Word, LaTeX, or RTF, the new version ensures better text alignment, proper handling of Unicode characters, and consistent rendering of complex structures, such as column spanners. The gt package continues to evolve as a comprehensive tool for data communication, and we look forward to you trying it out. Learn more about gt 1.2.0 and its full list of features: https://lnkd.in/gaybJsTd

Databot: The AI Assistant for Accelerated Exploratory Data Analysis (EDA) 🤖 In case you missed it, we have released the research preview of Databot, a new AI assistant designed to dramatically accelerate the exploratory data analysis workflow. Databot is built specifically for data scientists fluent in Python or R and works as an extension within the Positron IDE. We designed it to be a powerful complement to the experienced data scientist, not a replacement. The process of open-ended data exploration can often take hours. Databot addresses this challenge by writing and executing its own code on the fly, allowing you to derive reliable, serendipitous, and transparent insights in minutes. • Reduce the time required for comprehensive EDA, transforming hours of manual work into a focused few minutes. • The user experience is intentionally code-forward, requiring careful review of generated code to ensure trust and reliability in the analysis. • Built to support data scientists working across the R and Python ecosystems. • Databot is a specialized, purpose-built agent for EDA, focused on rapid iteration and insight generation. Learn more about Databot, its research preview status, and how to get started in Positron: https://lnkd.in/e-5thnH8

✨ 2025 has been an incredible year of innovation, partnership, and impact in the world of data science—and it’s all thanks to you. ✨ We are so grateful to be the toolkit for your most important work. As you wrap up your final projects and "bundle up" for the season, we want to thank you for being the heart of the Posit community. From all of us at Posit, Happy Holidays! We hope you have a cozy break and a brilliant start to 2026. 🎁 ☃️   #HappyHolidays #DataScience #Posit #OpenSource

🚜 DairyNZ is putting cutting-edge data into the hands of 11,000+ farmers to drive profitable and sustainable businesses. Using Posit and Snowflake, they built innovative, farmer-facing tools like: ✅ Econ Tracker: Quarterly budgets and forecasts (down from 12-24 months!). ✅ Pasture Potential Tool: Interactive dashboards to measure farm productivity. ✅ Connected Farm Prototypes: Predictive tools combining wearable sensor data ("Apple watches for cows"!) and weather to mitigate heat stress. This robust data pipeline is powered by the scalable infrastructure of Posit Workbench/Connect and the trusted data in Snowflake. It's how they're delivering near real-time value and establishing the foundation for AI-driven animal science. Read the full story now! 👉 https://lnkd.in/gVSD26px #AgriTech #Posit #Snowflake #AI #DairyNZ